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outstanding candidates whose work lies at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex
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learning including reinforcement learning, nature inspired algorithms, deep learning, agent based modeling, and natural language processing. We are specifically interested in research focused
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involves analyzing data obtained by cosmological surveys such as DESI, Euclid, Roman and others, developing new methods and algorithms, supporting other group members in particular graduate students, and
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and Applications of Algorithms” at the Faculty of Computer Science. The position is limited to six months and is planned to be filled from 01.10.2025. Your future tasks: Participation in research
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, equipped with state-of-the-art facilities, to work on the following: Conduct research, development, and testing of SLAM and multi-sensor fusion algorithms for UAV swarms in GNSS-denied, cluttered
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, equipped with state-of-the-art facilities, to work on the following: Conduct research, development, and testing of SLAM and multi-sensor fusion algorithms for UAV swarms in GNSS-denied, cluttered
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We are seeking a Sr. Radiomics and AI Engineer who will be responsible for developing and implementing algorithms and software that can analyze medical images and extract clinically relevant
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clinical trials. This includes the design of a data model, building and testing projects within the data model and end-user testing. Some projects may also require algorithms or other calculations be built
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Your Job: In this Master’s thesis, you will investigate the impact of different programming algorithms on the stability of resistance states using a sophisticated 3D Kinetic Monte Carlo (KMC) model
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(Required) Experience creating and utilizing statistical algorithms and conducting power calculations to determine sample size to answer complex research questions. (Required) Demonstrated experience working